ArticleEuropean journal of obstetrics & gynecology and reproductive biology: X2026
Prevalence of an endogenous LH rise following final GnRH antagonist dose in the IVF antagonist protocol.
Article in European journal of obstetrics & gynecology and reproductive biology: X, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The GnRH antagonist protocol is widely used in IVF/ICSI treatments. It involves daily injections of a GnRH antagonist starting on stimulation day 5 or later to prevent premature ovulation by suppressing the endogenous gonadotropin surge, continuing until hCG is administered to trigger final follicle maturation. Although the protocol is designed to control the timing of ovulation and prevent spontaneous ovulation, the frequency and impact of an endogenous LH rise occurring between the hCG trigger and oocyte pick-up have not been extensively studied. Study design: This was a prospective, non-blinded, observational study of 100 women conducted at two fertility clinics in Denmark between January 2023 and June 2024. All patients underwent standard IVF/ICSI treatment using the fixed GnRH antagonist protocol, with hCG (Ovitrelle® 250 µg/6500 IU) administered to trigger ovulation. Three blood samples were collected after the final GnRH antagonist dose: 1) on the day of hCG trigger, 2) the day after the trigger, and 3) on the day of oocyte pick-up. Plasma concentrations of LH, FSH, hCG, progesterone, and estradiol were measured. An LH concentration > 10 IU/L was used to define an LH rise. During oocyte pick-up, follicular fluid was aspirated to measure LH concentrations within the follicles. The main outcome was the frequency of cycles with an endogenous LH rise after the last GnRH antagonist administration. Main findings: An endogenous LH rise on the day after hCG trigger, when the effect of the GnRH antagonist is expected to be decreasing, was observed in 17% of women treated with the fixed GnRH antagonist protocol. These cycles were characterised by a shorter duration of GnRH antagonist administration, lower progesterone levels from trigger day to oocyte pick-up, and fewer oocytes retrieved, despite similar ovarian reserve markers at baseline. The fertilization rate and the number of day 2 embryos per oocyte retrieved were significantly higher in the group with an endogenous LH rise. As samples were collected only once daily, a true LH surge cannot be confirmed. Principal conclusions: Further research powered to look at specific GnRH antagonist regimens are needed to validate these findings and assess whether an endogenous LH rise influences important outcomes such as pregnancy and live birth rates.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.